对接(动物)
分子动力学
统计物理学
计算机科学
计算生物学
化学
生物系统
计算化学
神经科学
医学
物理
生物
护理部
作者
Danish Iqbal,Syed Mohd Danish Rizvi,Md Tabish Rehman,M. Salman Khan,Abdulaziz Bin Dukhyil,Mohamed F. Alajmi,Bader Alshehri,Saeed Banawas,Qamar Zia,Mohammed Alsaweed,Yahya Madkhali,Suliman A. Alsagaby,Wael Alturaiki
出处
期刊:Entropy
[Multidisciplinary Digital Publishing Institute]
日期:2022-04-23
卷期号:24 (5): 593-593
被引量:24
摘要
Neurodegenerative disorders involve various pathophysiological pathways, and finding a solution for these issues is still an uphill task for the scientific community. In the present study, a combination of molecular docking and dynamics approaches was applied to target different pathways leading to neurodegenerative disorders such as Alzheimer's disease. Initially, abrineurin natural inducers were screened using physicochemical properties and toxicity assessment. Out of five screened compounds, a pentacyclic triterpenoid, i.e., Soyasapogenol B appeared to be the most promising after molecular docking and simulation analysis. Soyasapogenol B showed low TPSA (60.69), high absorption (82.6%), no Lipinski rule violation, and no toxicity. Docking interaction analysis revealed that Soyasapogenol B bound effectively to all of the targeted proteins (AChE, BuChE MAO-A, MAO-B, GSK3β, and NMDA), in contrast to other screened abrineurin natural inducers and inhibitors. Importantly, Soyasapogenol B bound to active site residues of the targeted proteins in a similar pattern to the native ligand inhibitor. Further, 100 ns molecular dynamics simulations analysis showed that Soyasapogenol B formed stable complexes against all of the targeted proteins. RMSD analysis showed that the Soyasapogenol B-protein complex exhibited average RMSD values of 1.94 Å, 2.11 Å, 5.07 Å, 2.56 Å, 3.83 Å and 4.07 Å. Furthermore, the RMSF analysis and secondary structure analysis also indicated the stability of the Soyasapogenol B-protein complexes.
科研通智能强力驱动
Strongly Powered by AbleSci AI